Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system

By Shu-Sheng Liaw. Comput. Educ., 2008

1,232 citations recorded by the source corpus.

Subfields: Education, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6deead56f2d179c0f566e999568eaceb68ebc734

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Citations in the corpus

Evaluating E-learning systems success: An empirical study (2020, result): “Similar findings were obtained by Sabherwal, Jeyaraj, and Chowa (2006) and Liaw (2008).”
Understanding the MOOCs continuance: The role of openness and reputation (2015, background): “System features are expected to influence e-learning effectiveness (Liaw, 2008; Selim, 2007).”
Impact of media richness and flow on e-learning technology acceptance (2009, background): “However, the Liaw (2008) survey did not include appropriate controls for different types or quality of multimedia instruction.”
Learners' acceptance of e-learning in South Korea: Theories and results (2009, background): “While a number of studies have investigated success factors and benefits of e-learning, there is still a lack of empirical studies that focus on the relationships among e-learning service factors and learners’ acceptance (Liaw, 2008; Liu, Liao, & Pratt, 2009; Pituch & Lee, 2006; Sánchez-Franco, Mart”
Conceptualizing and Investigating Instructor Presence in Online Learning Environments. (2015, background): “While the focus of this study did not garner learner perspectives regarding instructor presence, it has been well documented that the online “social exchange” with their instructors is paramount to their own sense of social presence and overall satisfaction within an online learning environment (Bol”
Predicting student satisfaction and perceived learning within online learning environments (2018, neutral): “When assessing the relationship between perceived self-e ﬃ cacy and perceived satisfaction with e-learning systems, Liaw (2008) found that perceived self-e ﬃ cacy does not predict perceived satisfaction.”
Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments (2013, methodology): “From other eight Hypotheses, the results of this research provide positive supports for previous studies (Bouhnik & Marcus, 2006; Chu & Chu, 2010; Kramarski & Gutman, 2006; Liaw, 2008; Motiwalla, 2007; Torkzadeh et al., 2006).”
The role of self-determination theory in explaining teachers' motivation to continue to use e-learning technology (2009, background): “The great advantage of using such technology in connection with on-site courses is that it increases flexibility, through resources that facilitate learning anytime and anywhere (Liaw, 2008).”
Does educational gamification improve students’ motivation? If so, which game elements work best? (2018, background): “However, internet courses can limit interaction with teachers and classmates and reduce student motivation (Liaw, 2008).”
Gamifying learning experiences: Practical implications and outcomes (2013, background): “Its potential benefits may address well-known issues as, for example, the lack of student motivation due to the limited capacity of interactionwith teacher and classmates (Liaw, 2008).”
A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types (2011, background): “Roca and Gagne (2008) 166 Employees E-learning System TAM Liaw (2008) 424 Students E-learning System (BlackBoard) TAM Wang and Wang (2009) 268 Teachers/ professors E-learning System TAM”
Factors influencing faculty satisfaction with online teaching and learning in higher education (2009, background): “Additionally, students’ perceptions of task value and self-efficacy, social ability, quality of system, and multimedia instruction have been identified as important constructs (Liaw, 2008; Lin, Lin, & Laffey, 2008).”
An Examination of Social Media Role in Entrepreneurial Intention among Accounting Students: A SEM Study (2019, background): “This relationship between complexity and adoption or intent to use is very clear for individual innovation adoption (Liaw, 2008; Martinez-Torres, Toral Marin, Barrero Garcia, Gallardo Vazquez, Arias Oliva, & Torres, 2008; Park & Yang, 2012). Studies by AlSharji, Ahmad, and Abu Bakar (2018) discovere”
Factors Influencing a Learner's Decision to Drop-Out or Persist in Higher Education Distance Learning (2010, neutral): “Liaw tested and created a model for developing effective e-learning that included three factors: learner’s self-efficacy (selfdirected behavior and autonomy), multimedia formats, and interaction environments (Liaw, 2008, p. 866).”